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The sensitivity of hypercubes and their generalizations is precisely characterized, revealing $\lceil\sqrt{k}\rceil$ as a fundamental threshold for induced subgraph properties in Cartesian products.
LLMs can achieve 93% precision in single-turn tool use, surpassing GPT, Gemini, and Claude, when trained on a unified dataset that standardizes tool interaction patterns and enforces cross-turn dependencies.
